{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hierarchical Forecast"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook offers a step by step guide to create a hierarchical forecasting pipeline.\n",
    "\n",
    "In the pipeline we will use `NeuralForecast` and `HINT` class, to create fit, predict and reconcile forecasts.\n",
    "\n",
    "We will use the TourismL dataset that summarizes large Australian national visitor survey.\n",
    "\n",
    "Outline<br>\n",
    "1. Installing packages<br>\n",
    "2. Load hierarchical dataset<br>\n",
    "3. Fit and Predict HINT<br>\n",
    "4. Benchmark methods<br>\n",
    "5. Forecast Evaluation"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can run these experiments using GPU with Google Colab.\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/Nixtla/neuralforecast/blob/main/nbs/examples/HierarchicalNetworks.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Installing packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "!pip install datasetsforecast hierarchicalforecast neuralforecast statsforecast"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Load hierarchical dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This detailed Australian Tourism Dataset comes from the National Visitor Survey, managed by the Tourism Research Australia, it is composed of 555 monthly series from 1998 to 2016, it is organized geographically, and purpose of travel. The natural geographical hierarchy comprises seven states, divided further in 27 zones and 76 regions. The purpose of travel categories are holiday, visiting friends and relatives (VFR), business and other. The MinT (Wickramasuriya et al., 2019), among other hierarchical forecasting studies has used the dataset it in the past. The dataset can be accessed in the [MinT reconciliation webpage](https://robjhyndman.com/publications/mint/), although other sources are available.\n",
    "\n",
    "| Geographical Division | Number of series per division | Number of series per purpose | Total |\n",
    "|          ---          |               ---             |              ---             |  ---  |\n",
    "|  Australia            |              1                |               4              |   5   |\n",
    "|  States               |              7                |              28              |  35   |\n",
    "|  Zones                |             27                |              108             |  135  |\n",
    "|  Regions              |             76                |              304             |  380  |\n",
    "|  Total                |            111                |              444             |  555  |\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from datasetsforecast.hierarchical import HierarchicalData\n",
    "from hierarchicalforecast.utils import aggregate, HierarchicalPlot\n",
    "from neuralforecast.utils import augment_calendar_df\n",
    "from utilsforecast.plotting import plot_series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load hierarchical dataset\n",
    "Y_df, S_df, tags = HierarchicalData.load('./data', 'TourismLarge')\n",
    "Y_df['ds'] = pd.to_datetime(Y_df['ds'])\n",
    "Y_df, _ = augment_calendar_df(df=Y_df, freq='M')\n",
    "S_df = S_df.reset_index(names=\"unique_id\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mathematically a hierarchical multivariate time series can be denoted by the vector $\\mathbf{y}_{[a,b],t}$ defined by the following aggregation constraint:\n",
    "\n",
    "$$\n",
    "\\mathbf{y}_{[a,b],t}  = \\mathbf{S}_{[a,b][b]} \\mathbf{y}_{[b],t} \\quad \\Leftrightarrow \\quad \n",
    "\\begin{bmatrix}\\mathbf{y}_{[a],t}\n",
    "\\\\ %\\hline\n",
    "\\mathbf{y}_{[b],t}\\end{bmatrix} \n",
    "= \\begin{bmatrix}\n",
    "\\mathbf{A}_{[a][b]}\\\\ %\\hline\n",
    "\\mathbf{I}_{[b][b]}\n",
    "\\end{bmatrix}\n",
    "\\mathbf{y}_{[b],t}\n",
    "$$\n",
    "\n",
    "where $\\mathbf{y}_{[a],t}$ are the aggregate series, $\\mathbf{y}_{[b],t}$ are the bottom level series and $\\mathbf{S}_{[a,b][b]}$ are the hierarchical aggregation constraints."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAGXCAYAAAB82IZJAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAMTgAADE4Bf3eMIwAAGphJREFUeJzt3V1MHOfZxvELSkyV0r6xESYty7I4uyhKsYNrkeDKxnXbJKhKrEi2WyHHIbWqHJgqipCQfFDVipS4skSolIqcurErRTgpqdVWcdQDlwS1qVFdp7HaRP4AlnWEQdR1RXAsuzzvgcsG87kfMzvPzPx/0kqwszD3DFz33js7u1tkjDECEDrFXhcAwBuEHwgpwg+EFOEHQorwAyFF+IGQIvxASFkX/vPnz+ub3/ym6urq9NBDD+kf//iH6+uMxWK6//771dDQoIaGBvX29kqSxsfH1dLSokQiofr6eg0MDDi63ueee06xWExFRUU6d+5c+vrl1js9Pa3W1lbF43HV1dWpr6/PlRq+9a1vad26del98vOf/9y1Gj777DM9+eSTqqurU0NDg1paWjQ8PCypcPtiuRoKuS8effRRbdiwQQ0NDdq6davOnj0ryaX9YCyzfft2c+TIEWOMMW+88YZpampyfZ01NTXmww8/XHD9D3/4Q3Pw4EFjjDGnT5820WjU3Lx507H19vf3m9HR0QXrX269L7zwgmlrazPGGHPp0iVTWVlp/vWvfzlew7Zt28xvf/vbRX/G6RquX79ufv/735uZmRljjDG/+MUvzCOPPGKMKdy+WK6GQu6Lq1evpr9+6623zMaNG40x7uwHq8J/5coV83//93/pjZqZmTGVlZVmaGjI1fUuFf4vfelLZnx8PP19Y2OjOXXqlOvrX269DzzwgDl9+nR62e7du9PN0skalvuHd6uGWYODg+a+++4zxnizL+bX4NW++OUvf2k2bdpkjHFnP1g19o+OjuprX/uaSkpKJElFRUWKRqNKJpOur3vPnj1av369fvSjH2liYkKTk5OamZlRRUVF+jaxWMz1WlZabzKZVE1NTUFq6uzs1Pr16/WDH/xAly5dSl/vdg2vvPKKnnjiCU/3xWwNswq5L55++mlVV1frJz/5iV577TXX9oNV4ZduB34uU4CXHrz77rv64IMPdObMGZWXl6utrc2zWjJZ79zlbtV07Ngx/fOf/9Tf//53bd26VY8//nhBajh06JDOnz+vl156acF6FluXG3XMr6HQ++Lo0aMaHR3Viy++qM7OzgXrWGw9udRgVfirq6uVSqV069YtSbc3YnR0VNFo1NX1zv7+u+66S88//7zee+89lZeXS5ImJibStxsZGXG9lpXWG41G0wei3Kypurpa0u1/qh//+Me6dOmSJicnXa2hq6tLfX19evvtt3X33Xd7si/m1yB5sy8kqa2tTadOnUp/7/h+yP+RibO2bdt2xwG/hx9+2NX1TU1N3XGQ5eWXXzZbt241xhjT1tZ2x0GW6upqRw/4zZr/eHu59R48ePCOgztr1641k5OTjtZw8+ZNMzY2ll725ptvmmg0mv7ejRpefvll841vfGPBgapC7ovFaijkvrh27Zq5fPly+vu+vj5TVVVlZmZmXNkP1oX/o48+Mk1NTSaRSJhNmzaZc+fOubq+ixcvmoaGBrN+/XpTX19vduzYkT7AODY2Zh555BETj8fNAw88YP74xz86uu79+/ebqqoq84UvfMFUVlamDzAtt96pqSnz/e9/39x3330mkUiYN954w/EapqamzKZNm0x9fb3ZsGGD+fa3v23Onj3rWg2jo6NGklm3bp158MEHzYMPPmgeeughY0zh9sVSNRRyXySTSdPY2Jhe13e+8x3zt7/9zbX9UGQMr+cHwsiqx/wACofwAyFF+IGQIvxASBF+IKRcD38ur9Lr7u52u6yM2FAHNXzOhjoCVUPOT0pmKJdX6VVVVblcVWZsqIMaPmdDHUGqwdV7/vHxcZ05c0ZPPfWUJGnnzp0aGhq641REAN5wNfxevkoPwPJK3F5BJq+M6+7uvuNxzCeffKJIJOJ2aSuamppK13H58mXP6pi/D91QVVW15LK5+8FLNtRhWw0TExO6ceNGTr/H1dN7x8fHlUgkNDk5qZKSEhlj9NWvflXvv/++YrHYkj8XiUSUSqXcKguLKESDWYmL/4qBlU9WXB37165dq40bN+pXv/qVJOnXv/61YrHYssGHN8ztF3l5evFaUVFR1hc/c/2FPR9//LGeeeYZTU5O6itf+Ypee+01ff3rX1/2Z7jnh1/k0gCcjFw+WbHyVX2L7VALywQ8Z+3Yn6uqqqoFI2EQxy7AS64f7XfKSvf82TQCpgjAR+FfSTaBplEAAQp/NnIJ9EoNgyYBvwll+HORzcMOGgH8gPA7xK2HHfmuC1gK4fdAvuF141kOGkr4EH4f8iKoHCQNHsKPjDj5sIbmYAfCD8flGm6aRmERflgj3xO5aA7ZIfzwDafCvVQTCVvzIPwInaVCHrbJgvAD/5NpuINyQhfhB7I0N/B+bgSEH8hDLgcpbWkShB9w0WJBt+XYgpXhv3z5cnoH2dIlAafY8j9t/Tv58I49gDusvOefa6WxyZYuCviN9eFfzGJHW2kCQHZ8Gf65mAyA3Pg+/IthMgBWFsjwz8VkACwu8OFfDJMBENLwz8VkgLAKffgXw2SAMCD8K2AyQFAR/hwwGSAICH+emAzgV4TfBUwG8APC7zImA9iK8HuAyQA2IPweYzKAVwi/hZgMUAiE33JMBnAL4fchJgM4gfD7HJMBckX4A4jJAJkg/AHHZIClEP4QYjKARPhDj8kgvAg/FmAyCAfCj2UxGQQX4UfWgvIptWFH+JEXJgP/IvxwHJOBPxB+uIrJwF6EHwXHZGAHwg9PMRl4h/DDOkwGhUH4YTUmA/cQfvgOk4EzCD98jckgd4QfgcNkkBnCj0BjMlga4UfoMBncRvgRamGeDIozudFzzz2nWCymoqIinTt3Ln39+Pi4WlpalEgkVF9fr4GBgfSy6elptba2Kh6Pq66uTn19fc5XD7jAGJO+FBUVpS9Bk1H4d+3apYGBAdXU1Nxx/YEDB9TU1KTz58/ryJEj2rNnj27duiVJ6urqUmlpqS5cuKB33nlH+/fv19WrV53fAsBFcxvBrKA0hIzC39zcrEgksuD648ePq729XZLU2NioysrK9L1/b29velltba2am5t14sQJp+oGPBOUySCj8C9mcnJSMzMzqqioSF8Xi8WUTCYlSclk8o5JYe6y+bq7uxWJRNKXqampXMsCCsrPk0HO4Ze0YOPmHxzJ9MBJR0eHUqlU+lJWVpZPWYCn/DIZ5Bz+8vJySdLExET6upGREUWjUUlSNBrV8PDwosuAsLB5Msjrnn/37t3q6emRJA0ODmpsbExbtmxZsGxoaEj9/f3asWNHnuUC/mfLZJBR+Nvb2xWJRJRKpfTd735X8XhcknT48GH96U9/UiKR0DPPPKNjx46ppOT2qQOdnZ26fv264vG4HnvsMfX09GjNmjXubQngQ15OBkXGwrMYZhsNEHYrHTfLJyt5jf0A3OXmZGBl+C9fvrzgurkbuthGs9yb5TbVEpblkhY0hFxYGf6qqqoFO2Duhs4eKGF54ZfbVAvL82Nl+KU7N3qpz45jeeGX21QLywM49s/yuqvOXz573WJfh2W5TbWwPIBjv2RPV12sAQBBYG34beqqi00I8/l9OcLH2vDbxqYJxKbHjfAvwp8F245B2HTkGP5D+LNk28MRp5bn+rCBhyD+RfghaeVjHLPLC/GMCgqD8OMOXj/Pj8Ih/LiDl8/z84xHYRF+WINnPAqL8MMqXh8ElbKbIPyM8AP/E7ZjFIQf+J+wPUtB+IElZPJwwc8HFgk/kIdcznOwBeEH8pTrswxeI/yAA7J9lsGG8xQIP+ABJ89TyJWV4V/sDTyBoMr3PIVcWRn+qqqq9Nc2HSABgsTK8M/i9eaAe6wOfzavNweQHavDP1fQzq4CvOab8M8K2vnVgFd8F34mAMAZvgv/fDQAIDe+D7+U/bvAAAhI+KXwvAYbcEpgwi+F4zXYgFMCFX4p+K/BBpwSuPBnggkBCGn4JY4RAKENv5T9e8kDQRLq8GeCBoCgIvwZsPl92IBcEf4M8WkvCBrCnwU+3x5BQvizlMnn2wN+QPgdwgQAvyH8DmMCgF8Qfodl+4mvgFcIv0ts/7QWgPC7xM1PawGcQPg9kO+ntQBOIPweyuQTXXmtAdxC+D2Uy0cz5fp+BBx4xHyE34dy+Ux4v3xmPAqH8PtUrp/oyrMQmEX4fSzXhw1LLedZhnAh/EjjWYZwIfxYVKbHCGgM/kX4kZH5xwh4bwP/I/zIWDbPKMB+GYX/s88+05NPPqm6ujo1NDSopaVFw8PDkqTx8XG1tLQokUiovr5eAwMD6Z+bnp5Wa2ur4vG46urq1NfX58pGwBuZvLcB04C9Mr7nf/bZZ/Xxxx/r7Nmzevzxx/Xss89Kkg4cOKCmpiadP39eR44c0Z49e3Tr1i1JUldXl0pLS3XhwgW988472r9/v65everOlsAanFPgDxmF/4tf/KK+973vpf9wTU1NunTpkiTp+PHjam9vlyQ1NjaqsrIyfe/f29ubXlZbW6vm5madOHHC8Y2AnTinwG45PeZ/5ZVX9MQTT2hyclIzMzOqqKhIL4vFYkomk5KkZDKpmpqaRZch+LI9pwCFlXX4Dx06pPPnz+ull16StPCPuNwfeamu393drUgkkr5MTU1lWxZ8hmcJvJdV+Lu6utTX16e3335bd999t8rLyyVJExMT6duMjIwoGo1KkqLRaPrA4Pxlc3V0dCiVSqUvZWVluWwLfIp3P/JGxuHv7u7W66+/rj/84Q+655570tfv3r1bPT09kqTBwUGNjY1py5YtC5YNDQ2pv79fO3bscLB8BAnHCAqryGSwd1OplKqrq7Vu3Tp9+ctfliSVlpbqL3/5i65cuaK9e/dqaGhIq1at0quvvqpt27ZJkj799FPt27dPf/3rX1VcXKxDhw5p165dKxYViUSUSqXy3DT43dxzBziPYHH5ZCWj8Bca4cdyaAqfyycrnOEHX+HdjZxD+OErvPLQOYQfvpXtmYQ0iDsRfgQG74CcHcKPQMnk3Ys4j+A2wo/Q4TyC2wg/QokJgPAjxML+fgSEH5gjTOcREH5gjjA9S0D4gSUEfQIg/ECGgtYACD+QhSA1AMIPZCkoDYDwAzkIQgMg/ECO/N4ACD+QBz83AMIP5MmvDYDwAw7w42sFCD/gEL+9WpDwAw7y0ycTEX7ARTZ/MhHhBwrAxrcYJ/xAAdj4fgGEHygwW95TkPADHvH6swkJP+CRpd5GTFr5cwecmBAIP2Chld5RyIkJwcrwX7582esSAGssNyHkw8rwV1VVeV0CEHhWhn+WbSdFAEFidfhtOykCCBKrwz+LCQBwni/CzwQAOM8X4Z/FBAA4x1fhZwIAnOOr8M9iAgDy58vwMwEA+fNl+GcxAQC583X4mQCA3Pk6/LOYAIDsBSL8TABA9gIR/llMAEDmAhV+JgAgc4EK/ywmAGBlgQw/EwCwskCGfxYTALC0QIefCQBYWqDDP4sJAFgoFOFnAgAWCkX4ZzEBAJ8LVfiZAIDPhSr8s5gAgJCGnwkACGn4ZzEBIMxCHX4mAIRZqMM/iwkAYUT4xQSAcMo4/I8++qg2bNighoYGbd26VWfPnpUkjY+Pq6WlRYlEQvX19RoYGEj/zPT0tFpbWxWPx1VXV6e+vj7HN8BJTAAIk5JMb3j8+HHdc889kqTf/OY32rdvn86cOaMDBw6oqalJJ0+e1ODgoHbt2qWLFy+qpKREXV1dKi0t1YULFzQ0NKTNmzdr+/btWr16tVvbkxcmAIRJxvf8s8GXpGvXrqm4+PaPHj9+XO3t7ZKkxsZGVVZWpu/9e3t708tqa2vV3NysEydOOFW7a5gAEAYZ3/NL0tNPP61Tp05Jkk6ePKnJyUnNzMyooqIifZtYLKZkMilJSiaTqqmpWXSZzZgAEAZZHfA7evSoRkdH9eKLL6qzs1PSwnvJ+cGZu3ypUHV3dysSiaQvU1NT2ZTlGiYABFlOR/vb2trSE4AkTUxMpL8eGRlRNBqVJEWjUQ0PDy+6bK6Ojg6lUqn0paysLJeyHMcEgCDLKPz/+c9/9Mknn6S/f+utt1ReXq41a9Zo9+7d6unpkSQNDg5qbGxMW7ZskaQ7lg0NDam/v187duxwehtcxwSAIMroMf+1a9e0c+dOXb9+XcXFxaqoqNDvfvc7FRUV6fDhw9q7d68SiYRWrVqlY8eOqaTk9q/t7OzUvn37FI/HVVxcrJ6eHq1Zs8bVDXIDEwCCqMhY+J8diUSUSqW8LmOBoqIiGgGskk9WOMMvCwQfQUL4c8AxAAQB4c8BEwCCgPDngQkAfkb488AEAD8j/A5gAoAfEX4HMAHAjwi/g5gA4CeE30FMAPATwu8CJgD4AeF3ARMA/IDwu4gJADYj/C5iAoDNCH8BMAHARoS/AJgAYCPCX0BMALAJ4S8gJgDYhPB7gAkANiD8HmACgA0Iv4eYAOAlwu8hJgB4ifBbgAkAXiD8FmACgBcIv0WYAFBIhN8iTAAoJMJvISYAFALhtxATAAqB8FuMCQBuIvwWYwKAmwi/DzABwA2E3weYAOAGwu8jTABwEuH3ESYAOInw+xATAJxA+H2ICQBOIPw+xgSAfBB+H2MCQD4IfwAwASAXhD8AmACQC8IfIEwAyAbhDxAmAGSD8AcQEwAyQfgDiAkAmSD8AcYEgOUQ/gBjAsByCH8IMAFgMYQ/BJgAsBjCHyJMAJiL8IcIEwDmIvwhxAQAifCHEhMAJMIfakwA4Ub4Q4wJINwIP5gAQorwgwkgpAg/0pgAwoXwI40JIFyyCv8LL7ygoqIinTt3TpI0Pj6ulpYWJRIJ1dfXa2BgIH3b6elptba2Kh6Pq66uTn19fc5WDtcwAYRDSaY3PHPmjN5//31Fo9H0dQcOHFBTU5NOnjypwcFB7dq1SxcvXlRJSYm6urpUWlqqCxcuaGhoSJs3b9b27du1evVqVzYEzmECCIeM7vlv3Lih9vZ2vfrqq3fcKxw/flzt7e2SpMbGRlVWVqbv/Xt7e9PLamtr1dzcrBMnTjhdP1zEBBBsGYX/pz/9qZ566inV1tamr5ucnNTMzIwqKirS18ViMSWTSUlSMplUTU3NosvgD0wAwbZi+P/85z9rcHBQ+/fvX7Bs/j3D/H+WucuX+0fq7u5WJBJJX6amplYsHIXDBBBMK4a/v79fH330kWpraxWLxZRKpfTYY4/p9OnTkqSJiYn0bUdGRtLHBKLRqIaHhxddNl9HR4dSqVT6UlZWls82wWFMAAFlslRTU2M+/PBDY4wxbW1t5uDBg8YYY06fPm2qq6vNzZs3jTHGHDx40LS1tRljjLl06ZJZu3atmZyczGgdVVVV2ZaFAsjh3wUuyycrGR/tX8zhw4e1d+9eJRIJrVq1SseOHVNJye1f2dnZqX379ikej6u4uFg9PT1as2aNE/0KHjHGqKioiEkgIIqMhX/JSCSiVCrldRlYAg3AHvlkhTP8kLXZCQD+RviRExqA/xF+5IwG4G+EH3mhAfgX4UfeaAD+RPjhCBqA/xB+OIYG4C+EH46iAfgH4YfjaAD+QPjhChqA/Qg/XEMDsBvhh6toAPYi/HAdDcBOhB8FQQOwD+FHwdAA7EL4UVA0AHsQfhQcDcAOhB+eoAF4j/DDMzQAbxF+eIoG4B3CD8/RALxB+GEFGkDhEX5YgwZQWIQfVqEBFA7hh3VoAIVB+GElGoD7CD+sRQNwF+GH1WgA7iH8sB4NwB2EH75AA3Ae4Ydv0ACcRfjhKzQA5xB++A4NwBmEH75EA8gf4Ydv0QDyQ/jhazSA3BF++B4NIDeEH4FAA8ge4Udg0ACyQ/gRKDSAzBF+BA4NIDOEH4FEA1gZ4Udg0QCWR/gRaDSApRF+BB4NYHGEH6FAA1iI8CM0aAB3IvwIFRrA5wg/QocGcBvhRyjRAAg/QizsDYDwI9TC3AAIP0IvrA2A8AMKZwMg/MD/hK0BEH5gjjA1AMIPzBOWBkD4gUWEoQFkHP5YLKb7779fDQ0NamhoUG9vryRpfHxcLS0tSiQSqq+v18DAQPpnpqen1draqng8rrq6OvX19Tm/BYBLgt4ASrK58Ztvvqn6+vo7rjtw4ICampp08uRJDQ4OateuXbp48aJKSkrU1dWl0tJSXbhwQUNDQ9q8ebO2b9+u1atXO7oRgFtmG4AxxutSHJf32H/8+HG1t7dLkhobG1VZWZm+9+/t7U0vq62tVXNzs06cOJHvKoGCCuoEkNU9/549ezQzM6OHH35YP/vZz1RcXKyZmRlVVFSkbxOLxZRMJiVJyWRSNTU1iy4D/CSIE0DG9/zvvvuuPvjgA505c0bl5eVqa2uTpAUdcf7Ombt8qR3X3d2tSCSSvkxNTWW8AUChBG0CyDj80WhUknTXXXfp+eef13vvvafy8nJJ0sTERPp2IyMj6dtGo1ENDw8vumyujo4OpVKp9KWsrCynjQHcFqQGkFH4P/30U/373/9Of//6669r48aNkqTdu3erp6dHkjQ4OKixsTFt2bJlwbKhoSH19/drx44dTtYPFFxQGkBGj/mvXLminTt36r///a+MMVq3bp2OHj0qSTp8+LD27t2rRCKhVatW6dixYyopuf1rOzs7tW/fPsXjcRUXF6unp0dr1qxxb2uAAgnCMYAiY2H1kUhEqVTK6zKAFXndAPLJCmf4AXnw80MAwg/kya8NgPADDvBjAyD8gEP81gAIP+AgPzUAwg84zC8NgPADLvBDAyD8gEtsbwCEH3CRzQ2A8AMus7UBEH6gAGxsAIQfKBDbGgDhBwrIpgZA+IECs6UBEH7AAzY0AMIPeMTrBkD4AQ952QAIP+AxrxoA4Qcs4EUDIPyAJQrdAAg/YJFCNgDCD1imUA2A8AMWKkQDIPyApdxuAIQfsJibDYDwA5ZzqwEQfsAH3GgAhB/wCacbAOEHfMTJBkD4AZ9xqgEQfsCHnGgARcbLDxdfQklJie69916vy9DU1JTKysqowYIabKnDthomJiZ048aNnH5PiZNFOeXee+9VKpXyugxFIhHP66AGu+oIUg2M/UBIEX4gpKwMf0dHh9clSLKjDmr4nA11BKkGKw/4AXCflff8ANxH+IGQIvxASBF+IKQIPxBShB8Iqf8HVlRthOVZsAwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 320x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Here we plot the hierarchical constraints matrix\n",
    "hplot = HierarchicalPlot(S=S_df, tags=tags)\n",
    "hplot.plot_summing_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1600x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_series(forecasts_df=Y_df[[\"unique_id\", \"ds\", \"y\"]], ids=['TotalAll'])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Fit and Predict HINT\n",
    "\n",
    "The Hierarchical Forecast Network (HINT) combines into an easy to use model three components:<br>\n",
    "1. SoTA neural forecast model.<br> \n",
    "2. An efficient and flexible multivariate probability distribution.<br>\n",
    "3. Builtin reconciliation capabilities.<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "from neuralforecast import NeuralForecast\n",
    "from neuralforecast.models import NHITS, HINT\n",
    "from neuralforecast.losses.pytorch import GMM, sCRPS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Train test splits\n",
    "horizon = 12\n",
    "Y_test_df  = Y_df.groupby('unique_id', observed=True).tail(horizon)\n",
    "Y_train_df = Y_df.drop(Y_test_df.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:lightning_fabric.utilities.seed:Seed set to 1\n"
     ]
    }
   ],
   "source": [
    "# Horizon and quantiles\n",
    "level = np.arange(0, 100, 2)\n",
    "qs = [[50-lv/2, 50+lv/2] if lv!=0 else [50] for lv in level]\n",
    "quantiles = np.sort(np.concatenate(qs)/100)\n",
    "\n",
    "# HINT := BaseNetwork + Distribution + Reconciliation\n",
    "nhits = NHITS(h=horizon,\n",
    "              input_size=24,\n",
    "              loss=GMM(n_components=10, quantiles=quantiles),\n",
    "              hist_exog_list=['month'],\n",
    "              max_steps=2000,\n",
    "              early_stop_patience_steps=10,\n",
    "              val_check_steps=50,\n",
    "              scaler_type='robust',\n",
    "              learning_rate=1e-3,\n",
    "              valid_loss=sCRPS(quantiles=quantiles))\n",
    "\n",
    "model = HINT(h=horizon, S=S_df.drop(columns='unique_id').values,\n",
    "             model=nhits,  reconciliation='BottomUp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "logging.getLogger('pytorch_lightning').setLevel(logging.ERROR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "Y_df['y'] = Y_df['y'] * (Y_df['y'] > 0)\n",
    "nf = NeuralForecast(models=[model], freq='MS')\n",
    "nf.fit(df=Y_train_df, val_size=12)\n",
    "Y_hat_df = nf.predict()\n",
    "\n",
    "Y_hat_df = Y_hat_df.rename(columns=lambda x: x.replace('.0', ''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1600x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_series(\n",
    "    Y_df,\n",
    "    Y_hat_df.drop(columns='NHITS-median'),\n",
    "    ids=['TotalAll'],\n",
    "    level=[90],\n",
    "    max_insample_length=12*5,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Benchmark methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We compare against AutoARIMA, a well-established traditional forecasting method from the [StatsForecast](https://nixtlaverse.nixtla.io/statsforecast/index.html) package, for which we reconcile the forecasts using [HierarchicalForecast](https://nixtlaverse.nixtla.io/hierarchicalforecast/index.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsforecast import StatsForecast\n",
    "from statsforecast.models import AutoARIMA\n",
    "from hierarchicalforecast.methods import BottomUp, MinTrace\n",
    "from hierarchicalforecast.core import HierarchicalReconciliation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define the model, and create the forecasts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sf = StatsForecast(models=[AutoARIMA()], \n",
    "                     freq='MS', n_jobs=-1)\n",
    "Y_hat_df_arima = sf.forecast(df=Y_train_df, \n",
    "                             h=12, \n",
    "                             fitted=True, \n",
    "                             X_df=Y_test_df.drop(columns=\"y\"), \n",
    "                             level = np.arange(2, 100, 2))\n",
    "Y_fitted_df_arima = sf.forecast_fitted_values()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we reconcile the forecasts using `BottomUp` and `MinTrace` reconciliation techniques:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "reconcilers = [\n",
    "    BottomUp(),\n",
    "    MinTrace(method='mint_shrink'),\n",
    "]\n",
    "hrec = HierarchicalReconciliation(reconcilers=reconcilers)\n",
    "Y_rec_df = hrec.reconcile(Y_hat_df=Y_hat_df_arima, \n",
    "                          Y_df=Y_fitted_df_arima, \n",
    "                          S=S_df, \n",
    "                          tags=tags, \n",
    "                          level = np.arange(2, 100, 2), \n",
    "                          intervals_method=\"bootstrap\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Forecast Evaluation"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To evaluate the coherent probabilistic predictions we use the scaled Continuous Ranked Probability Score (sCRPS), defined as follows:\n",
    "\n",
    "$$\n",
    "\\mathrm{CRPS}(\\hat{F}_{[a,b],\\tau},\\mathbf{y}_{[a,b],\\tau}) = \n",
    "    \\frac{2}{N_{a}+N_{b}} \\sum_{i} \\int^{1}_{0} \\mathrm{QL}(\\hat{F}_{i,\\tau}, y_{i,\\tau})_{q} dq\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathrm{sCRPS}(\\hat{F}_{[a,b\\,],\\tau},\\mathbf{y}_{[a,b\\,],\\tau}) = \n",
    "    \\frac{\\mathrm{CRPS}(\\hat{F}_{[a,b\\,],\\tau},\\mathbf{y}_{[a,b\\,],\\tau})}{\\sum_{i} | y_{i,\\tau} |}\n",
    "$$\n",
    "\n",
    "As you can see the HINT model (using NHITS as base model) efficiently achieves state of the art accuracy under minimal tuning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utilsforecast.losses import scaled_crps\n",
    "from hierarchicalforecast.evaluation import evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>level</th>\n",
       "      <th>metric</th>\n",
       "      <th>NHITS</th>\n",
       "      <th>AutoARIMA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Country</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.044431</td>\n",
       "      <td>0.131136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Country/State</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.063411</td>\n",
       "      <td>0.147516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Country/State/Zone</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.106060</td>\n",
       "      <td>0.174071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Country/State/Zone/Region</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.151988</td>\n",
       "      <td>0.205654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Country/Purpose</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.075821</td>\n",
       "      <td>0.133664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Country/State/Purpose</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.114674</td>\n",
       "      <td>0.181850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Country/State/Zone/Purpose</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.180491</td>\n",
       "      <td>0.244324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Country/State/Zone/Region/Purpose</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.245466</td>\n",
       "      <td>0.310656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Overall</td>\n",
       "      <td>scaled_crps</td>\n",
       "      <td>0.122793</td>\n",
       "      <td>0.191109</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               level       metric     NHITS  AutoARIMA\n",
       "0                            Country  scaled_crps  0.044431   0.131136\n",
       "1                      Country/State  scaled_crps  0.063411   0.147516\n",
       "2                 Country/State/Zone  scaled_crps  0.106060   0.174071\n",
       "3          Country/State/Zone/Region  scaled_crps  0.151988   0.205654\n",
       "4                    Country/Purpose  scaled_crps  0.075821   0.133664\n",
       "5              Country/State/Purpose  scaled_crps  0.114674   0.181850\n",
       "6         Country/State/Zone/Purpose  scaled_crps  0.180491   0.244324\n",
       "7  Country/State/Zone/Region/Purpose  scaled_crps  0.245466   0.310656\n",
       "8                            Overall  scaled_crps  0.122793   0.191109"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_metrics = Y_hat_df.merge(Y_test_df.drop(columns=\"month\"), on=['unique_id', 'ds'])\n",
    "df_metrics = df_metrics.merge(Y_rec_df, on=['unique_id', 'ds'])\n",
    "\n",
    "metrics = evaluate(df = df_metrics,\n",
    "                    tags = tags,\n",
    "                    metrics = [scaled_crps],\n",
    "                    models= [\"NHITS\", \"AutoARIMA\"],\n",
    "                    level = np.arange(2, 100, 2),\n",
    "                    train_df = Y_train_df.drop(columns=\"month\"),\n",
    "                    )\n",
    "\n",
    "metrics"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [Kin G. Olivares, David Luo, Cristian Challu, Stefania La Vattiata, Max Mergenthaler, Artur Dubrawski (2023). \"HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting\". International Conference on Machine Learning (ICML). Workshop on Structured Probabilistic Inference & Generative Modeling. Available at https://arxiv.org/abs/2305.07089.](https://arxiv.org/abs/2305.07089)<br />\n",
    "- [Kin G. Olivares, O. Nganba Meetei, Ruijun Ma, Rohan Reddy, Mengfei Cao, Lee Dicker (2023).\"Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures\". International Journal Forecasting, accepted paper. URL https://arxiv.org/pdf/2110.13179.pdf.](https://arxiv.org/pdf/2110.13179.pdf)<br />\n",
    "- [Kin G. Olivares, Federico Garza, David Luo, Cristian Challu, Max Mergenthaler, Souhaib Ben Taieb, Shanika Wickramasuriya, and Artur Dubrawski (2023). \"HierarchicalForecast: A reference framework for hierarchical forecasting\". Journal of Machine Learning Research, submitted. URL https://arxiv.org/abs/2207.03517](https://arxiv.org/abs/2207.03517)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "python3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
